diff options
Diffstat (limited to 'examples/mamdani/octave/investment_portfolio.java')
| -rw-r--r-- | examples/mamdani/octave/investment_portfolio.java | 77 |
1 files changed, 44 insertions, 33 deletions
diff --git a/examples/mamdani/octave/investment_portfolio.java b/examples/mamdani/octave/investment_portfolio.java index 09084f1..9dff687 100644 --- a/examples/mamdani/octave/investment_portfolio.java +++ b/examples/mamdani/octave/investment_portfolio.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,45 +13,55 @@ import com.fuzzylite.variable.*; public class investment_portfolio{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("Investment-Portfolio"); - -InputVariable inputVariable1 = new InputVariable(); -inputVariable1.setEnabled(true); -inputVariable1.setName("Age"); -inputVariable1.setRange(20.000, 100.000); -inputVariable1.addTerm(new ZShape("Young", 30.000, 90.000)); -inputVariable1.addTerm(new SShape("Old", 30.000, 90.000)); -engine.addInputVariable(inputVariable1); - -InputVariable inputVariable2 = new InputVariable(); -inputVariable2.setEnabled(true); -inputVariable2.setName("RiskTolerance"); -inputVariable2.setRange(0.000, 10.000); -inputVariable2.addTerm(new ZShape("Low", 2.000, 8.000)); -inputVariable2.addTerm(new SShape("High", 2.000, 8.000)); -engine.addInputVariable(inputVariable2); - -OutputVariable outputVariable = new OutputVariable(); -outputVariable.setEnabled(true); -outputVariable.setName("PercentageInStocks"); -outputVariable.setRange(0.000, 100.000); -outputVariable.fuzzyOutput().setAccumulation(new EinsteinSum()); -outputVariable.setDefuzzifier(new Centroid(200)); -outputVariable.setDefaultValue(Double.NaN); -outputVariable.setLockPreviousOutputValue(false); -outputVariable.setLockOutputValueInRange(false); -outputVariable.addTerm(new Gaussian("AboutFifteen", 15.000, 10.000)); -outputVariable.addTerm(new Gaussian("AboutFifty", 50.000, 10.000)); -outputVariable.addTerm(new Gaussian("AboutEightyFive", 85.000, 10.000)); -engine.addOutputVariable(outputVariable); +engine.setName("investment_portfolio"); +engine.setDescription(""); + +InputVariable Age = new InputVariable(); +Age.setName("Age"); +Age.setDescription(""); +Age.setEnabled(true); +Age.setRange(20.000, 100.000); +Age.setLockValueInRange(false); +Age.addTerm(new ZShape("Young", 30.000, 90.000)); +Age.addTerm(new SShape("Old", 30.000, 90.000)); +engine.addInputVariable(Age); + +InputVariable RiskTolerance = new InputVariable(); +RiskTolerance.setName("RiskTolerance"); +RiskTolerance.setDescription(""); +RiskTolerance.setEnabled(true); +RiskTolerance.setRange(0.000, 10.000); +RiskTolerance.setLockValueInRange(false); +RiskTolerance.addTerm(new ZShape("Low", 2.000, 8.000)); +RiskTolerance.addTerm(new SShape("High", 2.000, 8.000)); +engine.addInputVariable(RiskTolerance); + +OutputVariable PercentageInStocks = new OutputVariable(); +PercentageInStocks.setName("PercentageInStocks"); +PercentageInStocks.setDescription(""); +PercentageInStocks.setEnabled(true); +PercentageInStocks.setRange(0.000, 100.000); +PercentageInStocks.setLockValueInRange(false); +PercentageInStocks.setAggregation(new EinsteinSum()); +PercentageInStocks.setDefuzzifier(new Centroid(200)); +PercentageInStocks.setDefaultValue(Double.NaN); +PercentageInStocks.setLockPreviousValue(false); +PercentageInStocks.addTerm(new Gaussian("AboutFifteen", 15.000, 10.000)); +PercentageInStocks.addTerm(new Gaussian("AboutFifty", 50.000, 10.000)); +PercentageInStocks.addTerm(new Gaussian("AboutEightyFive", 85.000, 10.000)); +engine.addOutputVariable(PercentageInStocks); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(new EinsteinProduct()); ruleBlock.setDisjunction(new EinsteinSum()); -ruleBlock.setActivation(new EinsteinProduct()); +ruleBlock.setImplication(new EinsteinProduct()); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive", engine)); ruleBlock.addRule(Rule.parse("if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen", engine)); ruleBlock.addRule(Rule.parse("if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500", engine)); |